Building AI Agents and Orchestration using UiPath Maestro

Abstract

AI agents are integral to every business function, and strategies are being developed to integrate and adapt the workforce for AI agent use. In the future, the future of work is poised to progress towards using AI Agents alongside or assisting humans in day-to-day functions. LLM models power these agents and, as traditional automation deals with deterministic processes, AI agents can also automate non-deterministic processes. This is possible as AI agents make decisions based on real-time data. UiPath Maestro seamlessly coordinates tasks among AI agents, robots, and people, allowing developers to design end-to-end agentic processes using industry-standard BPMN constructs. Maestro is also very helpful in terms of visibility for businesses, as they can gain insight into historical instance executions, with powerful analytics integrated. This comprehensive solution supports the entire life cycle of long-running business processes, including modelling, implementation, monitoring, operations, and optimization. This research paper explores the context of AI agents, focusing on their development and the role of Maestro